{"id":"W2901768138","doi":"10.1109/access.2018.2881096","title":"Evaluation of an Arabic Speech Corpus of Emotions: A Perceptual and Statistical Analysis","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Deanship of Scientific Research, King Saud University","keywords":"Sadness; Emotion perception; Perception; Psychology; Anger; Emotion classification; Happiness; Surprise; Speech recognition; Disgust; Sentence; Computer science; Cognitive psychology; Natural language processing; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000813462,0.00006594266,0.000175034,0.0002562891,0.00003626634,0.00001555845,0.00009662365,0.00007425026,0.00447759],"category_scores_gemma":[0.0001025675,0.00006176472,0.00003746807,0.0003815361,0.0002146867,0.0001540516,0.00001277491,0.00005173633,0.00003093185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001471187,"about_ca_system_score_gemma":0.00003097475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003206104,"about_ca_topic_score_gemma":0.0006057331,"domain_scores_codex":[0.9987459,0.0003749527,0.0002553938,0.0002011516,0.0003275495,0.0000950615],"domain_scores_gemma":[0.9988507,0.00006489858,0.000135417,0.0001996063,0.000696305,0.00005306027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002466251,0.001488026,0.04347984,0.00005357303,0.001404535,0.000005007335,0.006210346,0.00005622588,0.00742703,0.002849999,0.001274114,0.9355047],"study_design_scores_gemma":[0.001072884,0.0004111303,0.9824992,0.00001415023,0.001833912,0.00001254142,0.0006444092,0.006097115,0.002723269,0.00456704,0.00002073946,0.0001035459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804127,0.00002544355,0.01338297,0.00002074947,0.0003240169,0.0001684199,0.00006966087,0.00001390014,0.005582131],"genre_scores_gemma":[0.9990882,0.000006310754,0.0006257904,0.00004060685,0.00009831216,0.00001013906,0.00005805141,0.000006293853,0.00006623809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9390194,"threshold_uncertainty_score":0.9964324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1323216424802764,"score_gpt":0.4507761456601746,"score_spread":0.3184545031798982,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}